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Volumn 3, Issue , 2012, Pages 73-75

A new credit scoring method based on improved fuzzy support vector machine

Author keywords

credit scoring; fuzzy membership; fuzzy support vector machine

Indexed keywords

ANTI-NOISE ABILITY; CREDIT RISK MANAGEMENT; CREDIT SCORING; EFFECTIVE MEASURES; FUZZY MEMBERSHIP; FUZZY SUPPORT VECTOR MACHINES; PREDICTION ACCURACY;

EID: 84867087478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSAE.2012.6272911     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 2
    • 9244259665 scopus 로고    scopus 로고
    • An Application of Support Vector Machines in Bankruptcy Prediction Model
    • J
    • Shin K S, Lee T S, Kim H J. An Application of Support Vector Machines in Bankruptcy Prediction Model [J]. Expert Systems with Applications, 2005, 28.
    • (2005) Expert Systems with Applications , pp. 28
    • Shin, K.S.1    Lee, T.S.2    Kim, H.J.3
  • 3
    • 0041767187 scopus 로고
    • Evolving Bayesian classifiers for credit control: A comparison with other machine learning methods
    • J
    • Fogarty TC, Ireson N. Evolving Bayesian classifiers for credit control: a comparison with other machine learning methods[J]. IMA Journal of Mathematics Applied in Business and Industry, 1994.5:63-75
    • (1994) IMA Journal of Mathematics Applied in Business and Industry , vol.5 , pp. 63-75
    • Fogarty, T.C.1    Ireson, N.2
  • 7
    • 30344453065 scopus 로고    scopus 로고
    • A new fuzzy support vector machine to evaluate credit risk
    • J
    • WANG Y Q, WANG S Y, LAI K K. A new fuzzy support vector machine to evaluate credit risk[J]. IEEE Transactions on Fuzzy Systems, 2005, 13(6): 820 - 831
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.6 , pp. 820-831
    • Wang, Y.Q.1    Wang, S.Y.2    Lai, K.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.